{
  "nbformat": 4,
  "nbformat_minor": 2,
  "metadata": {
    "orig_nbformat": 2,
    "colab": {
      "name": "example.ipynb",
      "provenance": []
    },
    "language_info": {
      "name": "python"
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "source": [
        "!pip install img2dataset"
      ],
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting img2dataset\n",
            "  Downloading img2dataset-1.0.1-py3-none-any.whl (5.5 kB)\n",
            "Collecting fire\n",
            "  Downloading fire-0.4.0.tar.gz (87 kB)\n",
            "\u001b[K     |████████████████████████████████| 87 kB 2.7 MB/s \n",
            "\u001b[?25hRequirement already satisfied: opencv-python in /usr/local/lib/python3.7/dist-packages (from img2dataset) (4.1.2.30)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.7/dist-packages (from img2dataset) (4.41.1)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from fire->img2dataset) (1.15.0)\n",
            "Requirement already satisfied: termcolor in /usr/local/lib/python3.7/dist-packages (from fire->img2dataset) (1.1.0)\n",
            "Requirement already satisfied: numpy>=1.14.5 in /usr/local/lib/python3.7/dist-packages (from opencv-python->img2dataset) (1.19.5)\n",
            "Building wheels for collected packages: fire\n",
            "  Building wheel for fire (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for fire: filename=fire-0.4.0-py2.py3-none-any.whl size=115943 sha256=6b2b37dcbb8fc1323019bd7e6c3f39f028c3713b7e66e643396b83e86c942a36\n",
            "  Stored in directory: /root/.cache/pip/wheels/8a/67/fb/2e8a12fa16661b9d5af1f654bd199366799740a85c64981226\n",
            "Successfully built fire\n",
            "Installing collected packages: fire, img2dataset\n",
            "Successfully installed fire-0.4.0 img2dataset-1.0.1\n"
          ]
        }
      ],
      "metadata": {
        "id": "Hdc8jUx3HnD0",
        "outputId": "a1ec3a08-4d5c-4351-a7f1-7cc2d8027e79",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      }
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "source": [
        "!echo 'https://placekitten.com/200/305' >> myimglist.txt\n",
        "!echo 'https://placekitten.com/200/304' >> myimglist.txt\n",
        "!echo 'https://placekitten.com/200/303' >> myimglist.txt"
      ],
      "outputs": [],
      "metadata": {
        "id": "fM0fPQDaHnD1"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "source": [
        "!img2dataset --url_list=myimglist.txt --output_folder=output_folder --thread_count=64 --image_size=256"
      ],
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "3it [00:00, 13203.48it/s]\n",
            "100% 3/3 [00:00<00:00, 15.11it/s]\n"
          ]
        }
      ],
      "metadata": {
        "id": "wYy7ZwGGHnD1",
        "outputId": "14e69d1c-c197-4d00-953d-e67b31ec1bdf",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      }
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "source": [
        "!ls -R output_folder"
      ],
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "output_folder:\n",
            "0\n",
            "\n",
            "output_folder/0:\n",
            "0.jpg  1.jpg  2.jpg\n"
          ]
        }
      ],
      "metadata": {
        "id": "bAn-WRd2HnD2",
        "outputId": "345ef908-143e-4ea8-e692-ca39c2eaa741",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      }
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "source": [
        "from IPython.display import Image\n",
        "Image(filename='output_folder/00000/000000000.jpg')"
      ],
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/jpeg": "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",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ],
      "metadata": {
        "id": "ThRXLLTgHnD2",
        "outputId": "12370fb0-61d0-4bc8-9f87-2fc8d9779394",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 273
        }
      }
    }
  ]
}